r

/

face_recognition

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A mirror which shows which faces are detected through three different facial detection algorithms:

OpenCV's deep neural net face detector.
Dlib's default frontal face detector, which is HOG based
A Viola-Jones Haarcascade detection. Any OpenCV compatible xml file should work. It defaults to the canonical haarcascade_frontalface_alt2.xml.

Installation

on windows

The installation in Windows can be done, though it is quite elaborate:

Install python3
Install VS C++
Install Cmake (needed for python dlib)
- make sure to add it to path
Install git
- including ssh deploy key
git clone https://git.rubenvandeven.com/r/face_detector
cd face_recognition
pip install virtualenv
virtualenv.exe venv
.\venv\Scripts\activate
cd .\dnn\face_detector
python.exe .\download_weights.py
cd .\visualhaar
Either one of:
- Compile rust library
  - Install rustup-init
  - git submodules init
  - git submodules update
  - cargo build --lib --release
- Download dll from https://git.rubenvandeven.com/r/visualhaar/releases

Make the installer:
- & 'C:\Users\DP Medialab\AppData\Roaming\Python\Python38\Scripts\pyinstaller.exe' .\mirror.py --add-binary '.\visualhaar\target\release\visual_haarcascades_lib.dll;.' --add-data '.\haarcascade_frontalface_alt2.xml;.' --add-data '.\SourceSansPro-Regular.ttf;.' --add-data 'dnn;dnn'
- mv '.\dist\mirror\mpl-data' '.\dist\mirror\matplotlib\'